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001439411 001__ 1439411
001439411 003__ OCoLC
001439411 005__ 20230309004427.0
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001439411 019__ $$a1267764345
001439411 020__ $$a9783030666330$$q(electronic bk.)
001439411 020__ $$a3030666336$$q(electronic bk.)
001439411 020__ $$z9783030666323
001439411 020__ $$z3030666328
001439411 0247_ $$a10.1007/978-3-030-66633-0$$2doi
001439411 035__ $$aSP(OCoLC)1266896283
001439411 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001439411 049__ $$aISEA
001439411 050_4 $$aR859.7.I58
001439411 08204 $$a610.285$$223
001439411 24500 $$aEfficient data handling for massive Internet of medical things :$$bhealthcare data analytics /$$cChinmay Chakraborty, Uttam Ghosh, Vinayakumar Ravi, Yogesh Shelke, editors.
001439411 264_1 $$aCham :$$bSpringer,$$c[2021]
001439411 264_4 $$c©2021
001439411 300__ $$a1 online resource :$$billustrations
001439411 336__ $$atext$$btxt$$2rdacontent
001439411 337__ $$acomputer$$bc$$2rdamedia
001439411 338__ $$aonline resource$$bcr$$2rdacarrier
001439411 4901_ $$aInternet of things : technology, communications and computing,$$x2199-1081
001439411 500__ $$aIncludes index.
001439411 5050_ $$aChapter 1. An Overview of the Internet of Medical Things and its Modern Perspective -- Chapter 2. Big medical data analytics under Internet of Things -- Chapter 3. Big Medical Data Analytics using Sensor Technology -- Chapter 4. Smart Healthcare Technologies for Massive Internet of Medical Things -- Chapter 5. Sensor Informatics of IoT, AR/VR, and MR in Healthcare Applications -- Chapter 6. Body Sensor Networks as emerging trends of technology in health care system: Challenges and Future -- Chapter 7. Smart sensors technologies for Healthcare system -- Chapter 8. Cloud and IoMT-based Big Data Analytics system during COVID-19 pandemic -- Chapter 9. Remote human--health and activities monitoring using wearable sensor based system- a review -- Chapter 10. A Healthcare Resource Management Optimization Framework for ECG Biomedical Sensors -- Chapter 11. Diabetes Detection and Sensor Based Continuous Glucose Monitoring--A Deep Learning Approach -- Chapter 12. Sensing the Mind-An Exploratory Study About Sensors used in E-Health and M-Health Applications for Diagnosis of Mental Health Condition -- Chapter 13. Role of Sensors, Devices and Technology for Detection of COVID-19 Virus -- Chapter 14. Implementation of Internet of Medical Things (IoMT): Clinical and Policy Implications -- Chapter 15. Applicability of Blockchain Technology in Healthcare Industry: Applications, Challenges & Solutions.
001439411 506__ $$aAccess limited to authorized users.
001439411 520__ $$aThis book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics. This book brings together the latest industrial and academic progress, research, and development efforts within the rapidly maturing health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. In a nutshell, this book gives a comprehensive overview of the state-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things. Presents a rigorous introduction to theoretical foundations and practical solutions for Internet of Medical Things; Covers data handling, intelligence and security and related issues to guide the massive data handling techniques for healthcare; Includes examples and case studies for further study for academics, researchers, and professionals.
001439411 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 15, 2021).
001439411 650_0 $$aMedical informatics.
001439411 650_0 $$aInternet in medicine.
001439411 650_0 $$aInternet of things.
001439411 650_6 $$aMédecine$$xInformatique.
001439411 650_6 $$aInternet en médecine.
001439411 650_6 $$aInternet des objets.
001439411 655_0 $$aElectronic books.
001439411 7001_ $$aChakraborty, Chinmay,$$d1984-$$eeditor.
001439411 7001_ $$aGhosh, Uttam,$$eeditor.
001439411 7001_ $$aRavi, Vinayakumar,$$eeditor.
001439411 7001_ $$aShelke, Yogesh,$$eeditor.
001439411 77608 $$iPrint version:$$tEfficient data handling for massive Internet of medical things.$$dCham : Springer, [2021]$$z3030666328$$z9783030666323$$w(OCoLC)1224518903
001439411 830_0 $$aInternet of things.$$x2199-1081
001439411 852__ $$bebk
001439411 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-66633-0$$zOnline Access$$91397441.1
001439411 909CO $$ooai:library.usi.edu:1439411$$pGLOBAL_SET
001439411 980__ $$aBIB
001439411 980__ $$aEBOOK
001439411 982__ $$aEbook
001439411 983__ $$aOnline
001439411 994__ $$a92$$bISE